library(haven)
library(ggplot2)
library(plotly)
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
categ <- read_dta(file = "ByCateg_v5.dta")
nutrients <- read_dta(file = "foodcode_nutrient_density.dta")
categfull <- categ %>%
filter(!is.na(price)) %>%
filter(categ_name != "Uncat")
Initial Data Visualizations
ggplot(data = categfull, mapping = aes(x = price, y = densprot)) +
geom_point(aes(color = broadcateg_name, size = tspend),
alpha = 0.5) +
labs(title = "Protein on a Budget?", x = "Price/1000 kcal", y = "Protein/1000 kcal") +
scale_size(guide = 'none') +
scale_color_discrete(name = "Food Category")
ggplot(data = categfull, mapping = aes(x = price, y = denssodi)) +
geom_point(aes(color = broadcateg_name, size = tspend),
alpha = 0.5) +
labs(title = "Sodium on a Budget?", x = "Price/1000 kcal", y = "Protein/1000 kcal") +
scale_size(guide = 'none') +
scale_color_discrete(name = "Food Category")
ggplot(data = categfull, mapping = aes(x = price, y = dens_add_sugars)) +
geom_point(aes(color = broadcateg_name, size = tspend),
alpha = 0.5) +
labs(title = "Sugar on a Budget?", x = "Price/1000 kcal", y = "Protein/1000 kcal") +
scale_size(guide = 'none') +
scale_color_discrete(name = "Food Category")
ggplot(data = categfull, mapping = aes(x = price, y = densfibe)) +
geom_point(aes(color = broadcateg_name, size = tspend),
alpha = 0.5) +
labs(title = "Fiber on a Budget?", x = "Price/1000 kcal", y = "Protein/1000 kcal") +
scale_size(guide = 'none') +
scale_color_discrete(name = "Food Category")
First Plotly Iteration
Protein
# Legend
leg <- list(
bordercolor = "#E2E2E2",
borderwidth = 0.5)
# Protein
prot <- plot_ly(
categfull, x = ~price, y = ~densprot,
# Hover text:
text = ~paste("<b>Type:</b>", categ_name, "<br><b>Description:</b>", categ_des),
color = ~broadcateg_name, size = ~tspend, opacity = 0.8
)
prot %>%
layout(title = "Protein",
xaxis = list(title = "Price/1000kcal"), yaxis = list(title = "Protein(gm)/1000kcal"),
margin = list(l = 123), legend = leg)
Fiber
# Legend
leg1 <- list(
bordercolor = "#E2E2E2",
borderwidth = 0.5)
# Protein
fibe <- plot_ly(
categfull, x = ~price, y = ~densfibe,
# Hover text:
text = ~paste("<b>Type:</b>", categ_name, "<br><b>Description:</b>", categ_des),
color = ~broadcateg_name, size = ~tspend, opacity = 0.8
)
fibe %>%
layout(title = "Fiber",
xaxis = list(title = "Price/1000kcal"), yaxis = list(title = "Fiber(gm)/1000kcal"),
margin = list(l = 123), legend = leg1)
Creating Different Food Category Data
dairy <- categfull %>%
filter(broadcateg_name == "Dairy")
protein <- categfull %>%
filter(broadcateg_name == "Protein")
grains <- categfull %>%
filter(broadcateg_name == "Grains")
fruit <- categfull %>%
filter(broadcateg_name == "Fruit")
veg <- categfull %>%
filter(broadcateg_name == "Veg")
mixed <- categfull %>%
filter(broadcateg_name == "Mixed")
other <- categfull %>%
filter(broadcateg_name == "Other")
Plotly Visualization with Dropdown Feature
#Plot with Dropdown
prot <- plot_ly(
data = categfull, x = ~price, y = ~densprot,
#color = ~broadcateg_name,
size = ~tspend,
alpha = 0.7,
width = 900,
height = 500,
hoverinfo = "text+y",
text = ~paste0("<b>", categ_name, "</b><br>", "<b><i>Description: </b></i>", categ_des, "<br><b><i>Daily Spending/Capita: </b></i>", round(tspend, 3)),
#ifelse(categfull$categ_name == categfull$categ_des, (~paste0("<b>", categ_name, "</b><br>", "<b><i>Description: </b></i>", categ_des, "<br><b><i>Total Spending/Capita: </b></i>", tspend)), (~paste0("<b>", categ_name, "</b><br>", "<br><b><i>Total Daily Spending: </b></i>", tspend))),
type = "scatter",
mode = "markers"
) %>%
layout(
title = list(text = "<b>Finding Affordable Nutrient Sources</b>", x = .75),
xaxis = list(title = "Price($)/1000kcal"),
yaxis = list(title = ""),
margin = list(b=150), ##right margin in pixels
annotations =
list(x = 1.32, y = .4, #position of text adjust as needed
text = "*Datapoint size reflects \nfood category's total \ndaily spending",
showarrow = F, xref='paper', yref='paper',
xanchor='right', yanchor='auto', xshift=0, yshift=0,
font=list(size=12, color="grey")),
legend=list(title=list(text='<b> Broad Food Category </b>')),
updatemenus = list(
list(
y = .55,
x = -.05,
type = "list",
label = 'Category',
buttons = list(
list(method = "restyle",
##list(method = "update",
##args = list("y", list(~densprot)),
#args = list(list(y = list(categfull$densprot))),
args = list("y", list(categfull$densprot)),
label = "Protein(gm)/1000kcal"),
list(
## method = "update",
## args = list("y", list(~densfibe)),
method = "restyle",
args = list("y", list(categfull$densfibe)),
label = "Fiber(gm)/1000kcal"),
list(
## method = "update",
## args = list("y", list(~dens_add_sugars)),
method = "restyle",
args = list("y", list(categfull$dens_add_sugars)),
label = "Added Sugar(gm)/1000kcal"),
list(
## method = "update",
## args = list("y", list(~denssodi)),
method = "restyle",
args = list("y", list(categfull$denssodi)),
label = "Sodium(mg)/1000kcal")))))
# Create Buttons
df <- data.frame(x = categfull$price,
y = categfull$densprot,
z = categfull$densfibe,
j = categfull$denssodi,
k = categfull$dens_add_sugars)
create_buttons <- function(df, y_axis_var_names) {
lapply(
y_axis_var_names,
FUN = function(var_name, df) {
button <- list(
method = 'restyle',
args = list('y', list(df[, var_name])),
label = sprintf('Show %s', var_name)
)
},
df
)
}
y_axis_var_names <- c('y', 'z', 'j', 'k')
p <- plot_ly(df, x = ~x, y = ~y, mode = "markers", name = "A", visible = T, size = ~categfull$tspend,
alpha = 0.7) %>%
layout(
title = "Drop down menus - Styling",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.7,
buttons = create_buttons(df, y_axis_var_names)
)
))
p